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characterization (SEM, EDX, etc) Aerosol physics Data analysis and programming (e.g., MATLAB, Python, or R) Interdisciplinary teamwork Fieldwork and particle sampling e.g. on/from vehicles Swedish language skills
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for computational design and analytical methods towards a more sustainable built environment. Information about the division/the project The Research Area Sustainable Built Environments has extensive experience in
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This PhD project focuses on strengthening network security for large-scale distributed AI training. As training increasingly spans multiple data centers connected over wide-area networks, it
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effort at the intersection of machine learning and applied mechanics. The focus of this position is on extracting information about what a neural network has learnt in a symbolic and (human) interpretable
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experience with Open Science practices (e.g. contributions to open-source libraries, research data repositories) Personal attributes Strong communication skills for interdisciplinary collaboration Ability
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more general information about doctoral studies at Chalmers here . Application procedure The application should be written in English be attached as PDF-files, as below. Maximum size for each file is 40
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qualifications Documented experience with data analysis and programming (e.g., Matlab, Python or R). Experience of risk assessment and/or decision analysis Experience of probabilistic methods such as Monte Carlo
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degree in Biomedical Science, Bioengineering, Life Sciences, or a related field, and demonstrated expertise in artificial intelligence and data science. Job description This is a full-time, three-month
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devices where you will provide a key tool for efficient workflow. Information about the division and the project The Quantum Technology division focuses on experimental research in superconducting quantum
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with expertise in materials characterisation, computer vision, computational modelling, and machine learning. The other PhD positions connected to the project are: PhD Student Position in Generative